文章基本信息

标题：Handwriting Word Recognition Based on SVM Classifier
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作者：Mustafa S. Kadhm ; Asst. Prof. Dr. Alia Karim Abdul Hassan
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2015
卷号：6
期号：11
DOI：10.14569/IJACSA.2015.061109
出版社：Science and Information Society (SAI)
摘要：this paper proposed a new architecture for handwriting word recognition system Based on Support Vector Machine SVM Classifier. The proposed work depends on the handwriting word level, and it does not need for character segmentation stage. An Arabic handwriting dataset AHDB, dataset used for train and test the proposed system. Besides, the system achieved the best recognition accuracy 96.317% based on several feature extraction methods and SVM classifier. Experimental results show that the polynomial kernel of SVM is convergent and more accurate for recognition than other SVM kernels.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Arabic Text; Preprocessing; Feature Extraction; SVM